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SSME CT Big Data Software Engineer

Siemens

Education
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Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

Our inspiring and caring environment forms a global community that celebrates diversity and individuality. We encourage you to step beyond your comfort zone, offering resources and flexibility to foster your professional and personal growth, all while valuing your unique contributions.

Your role:

Holistic responsibility for CT related data analytics application and data innovation projects, including product design, data modelling, data validation, and product deployment, and contribute on CT product development specially on stability and utilization.

  • As a product owner of business-critical data analytics applications, supporting the analysis of business objectives, assess the problems need to be solved using data analytics methods and communicate the requirements to CT business stakeholders.
  • Responsibility of creating and programming software algorithm for different purposes, e.g. utilization and reliability analysis of CT install base; visualize/analyze the technical data from production line/R&D test systems to realize early warning of quality issues.
  • Support data chain value analysis and management: responsible for SSME CT E2E PLM Process Tool development and Process Data analysis/visualization/mining.
  • Support validation and verification of related softwares, software-code documentation.
  • Other tasks assigned by superiors.

Your expertise:

  • Experience in the fields of data analysis with successful execution of data science projects.
  • Strong understanding and experience in execution of data science workflows like CRISP-DM, industry standards and trends in the specialist field.
  • 2+ years’ experience in solid understanding of Machine Learning (supervised and unsupervised learning, NLP, explainable AI) and exploratory data analysis and feature engineering; Experience in Deep Learning (TensorFlow, PyTorch) would be a plus is plus.
  • 1+ years’ experience in Visual Analytics, building data-driven applications for end users with BI tools (Qlik, Power BI).
  • Master degree or above in Information Science, Data Science, Mathematics, Physics, AI, etc.

Who we are:

We are a team of more than 71,000 highly dedicated Healthineers in more than 70 countries. As a leader in medical technology, we constantly push the boundaries to create better outcomes and experiences for patients, no matter where they live or what health issues they are facing. Our portfolio is crucial for clinical decision-making and treatment pathways.

How we work:

When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

As an equal opportunity employer, we welcome applications from individuals with disabilities.

We care about your data privacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not to send us your CV or resume by email. Please create a profile within our talent community and subscribe to personalized job alert that will keep you posted about new opportunities.

To all recruitment agencies:

Siemens Healthineers' recruitment is internally managed, with external support permitted only when a qualified supplier has established a formal contract with us. Unsolicited candidate submissions and referrals, absent a current supplier contract, do not establish consent and are ineligible for fees. We delete and destroy unsolicited information, thus, would recommend you refrain from any such practices. Your adherence to our policies is appreciated.

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Confirmed 11 minutes ago. Posted 8 days ago.

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